{
 "metadata": {
  "name": "",
  "signature": "sha256:94575235ffccd36e726cce94760253645df6b4af9c46f88dbda1a45049bedb2c"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline --no-import-all"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "matplotlib.rcParams['savefig.dpi'] = 150\n",
      "font = {'family' : 'times new roman',\n",
      "        'size'   : 12}\n",
      "matplotlib.rc('font', **font)\n",
      "size = np.array([245, 490, 980, 1960, 3920, 8210, 16420, 31840])\n",
      "# \u5b57\u7b26\u6570\u4ece 2.34e6 * 120 \u8d77\n",
      "# \u6bcf\u884c*\u884c\u6570\n",
      "results = {\n",
      "           u'HADOOP': np.array([131, 211, 462, 846, 2100, 3892, 9001, 18020]),\n",
      "           u'LOCAL': np.array([475, 962, 2027,3911, 8002, 17010, 34002, 68010]),\n",
      "           }\n",
      "styles = {\n",
      "          u'HADOOP': 'k.-',\n",
      "          U'LOCAL': 'k.:',\n",
      "          }\n",
      "fig, ax = plt.subplots()\n",
      "for result in results:\n",
      "    ax.plot(size, results[result], styles[result], label=result)\n",
      "ax.set_xlabel(u'Data Set Size / MByte')\n",
      "ax.set_ylabel(u'Time / S')\n",
      "# ax.set_title(u'Time Compare')\n",
      "# ax.set_xticklabels(size)\n",
      "ax.legend(loc=u'upper left')\n",
      "fig.tight_layout()\n",
      "fig.subplots_adjust(left=0.09, bottom=0.08, right=0.96, top=0.93)\n",
      "fig.savefig(\"hadoop_vs_single.svg\", dpi=200)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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ZmWnWqlXLNAzDjI6OLnWc+T/ThmGYkydP9ljnv//9rzlmzBgzJCTEqtu8eXPz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\nHBazRERERERE5HBYzBIREREREZHD+X/9v08hcqXgawAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0xb0169cc>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax.set_xticklabels"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot?"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "[i for i in matplotlib.font_manager.findSystemFonts(fontpaths=None, fontext='ttf') if 'times' in i.lower()]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "['/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold_Italic.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/times.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/timesi.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Italic.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/timesbd.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/timesbi.ttf',\n",
        " '/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold.ttf']"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "[i.name for i in matplotlib.font_manager.fontManager.ttflist]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "['Bitstream Vera Serif',\n",
        " 'Bitstream Vera Sans Mono',\n",
        " 'STIXGeneral',\n",
        " 'STIXSizeFourSym',\n",
        " 'STIXGeneral',\n",
        " 'cmr10',\n",
        " 'STIXNonUnicode',\n",
        " 'STIXSizeTwoSym',\n",
        " 'STIXNonUnicode',\n",
        " 'Bitstream Vera Sans',\n",
        " 'STIXSizeThreeSym',\n",
        " 'STIXSizeOneSym',\n",
        " 'Bitstream Vera Sans',\n",
        " 'STIXGeneral',\n",
        " 'cmsy10',\n",
        " 'cmss10',\n",
        " 'STIXNonUnicode',\n",
        " 'STIXSizeThreeSym',\n",
        " 'cmmi10',\n",
        " 'cmb10',\n",
        " 'STIXSizeFiveSym',\n",
        " 'STIXSizeTwoSym',\n",
        " 'STIXSizeFourSym',\n",
        " 'Bitstream Vera Sans Mono',\n",
        " 'Bitstream Vera Sans Mono',\n",
        " 'Bitstream Vera Sans',\n",
        " 'Bitstream Vera Serif',\n",
        " 'STIXNonUnicode',\n",
        " 'Bitstream Vera Sans',\n",
        " 'cmex10',\n",
        " 'Bitstream Vera Sans Mono',\n",
        " 'STIXSizeOneSym',\n",
        " 'cmtt10',\n",
        " 'STIXGeneral',\n",
        " 'Liberation Mono',\n",
        " 'Times New Roman',\n",
        " 'Verdana',\n",
        " 'DejaVu Sans',\n",
        " 'Arial',\n",
        " 'DejaVu Sans Mono',\n",
        " 'Liberation Mono',\n",
        " 'Georgia',\n",
        " 'Georgia',\n",
        " 'DejaVu Serif',\n",
        " 'Liberation Sans Narrow',\n",
        " 'Comic Sans MS',\n",
        " 'Liberation Sans',\n",
        " 'Courier New',\n",
        " 'Liberation Sans',\n",
        " 'DejaVu Sans',\n",
        " 'Times New Roman',\n",
        " 'DejaVu Sans',\n",
        " 'Impact',\n",
        " 'DejaVu Sans',\n",
        " 'Georgia',\n",
        " 'DejaVu Sans',\n",
        " 'Liberation Mono',\n",
        " 'Liberation Serif',\n",
        " 'Andale Mono',\n",
        " 'Arial',\n",
        " 'Liberation Serif',\n",
        " 'Liberation Sans',\n",
        " 'Verdana',\n",
        " 'DejaVu Sans Mono',\n",
        " 'DejaVu Sans',\n",
        " 'Courier New',\n",
        " 'DejaVu Serif',\n",
        " 'Courier New',\n",
        " 'Trebuchet MS',\n",
        " 'DejaVu Serif',\n",
        " 'Trebuchet MS',\n",
        " 'Courier New',\n",
        " 'Comic Sans MS',\n",
        " 'Arial',\n",
        " 'Courier New',\n",
        " 'Times New Roman',\n",
        " 'Verdana',\n",
        " 'Georgia',\n",
        " 'Trebuchet MS',\n",
        " 'DejaVu Sans',\n",
        " 'DejaVu Sans Mono',\n",
        " 'DejaVu Sans',\n",
        " 'DejaVu Sans',\n",
        " 'Verdana',\n",
        " 'Georgia',\n",
        " 'Andale Mono',\n",
        " 'Georgia',\n",
        " 'Courier New',\n",
        " 'Liberation Mono',\n",
        " 'Courier New',\n",
        " 'DejaVu Serif',\n",
        " 'Arial Black',\n",
        " 'Verdana',\n",
        " 'DejaVu Serif',\n",
        " 'Arial Black',\n",
        " 'Webdings',\n",
        " 'DejaVu Serif',\n",
        " 'Verdana',\n",
        " 'Arial',\n",
        " 'Liberation Serif',\n",
        " 'Arial',\n",
        " 'Trebuchet MS',\n",
        " 'Liberation Sans Narrow',\n",
        " 'Liberation Serif',\n",
        " 'Times New Roman',\n",
        " 'Times New Roman',\n",
        " 'Liberation Sans',\n",
        " 'Georgia',\n",
        " 'Courier New',\n",
        " 'Arial',\n",
        " 'Times New Roman',\n",
        " 'Trebuchet MS',\n",
        " 'DejaVu Serif',\n",
        " 'Verdana',\n",
        " 'Arial',\n",
        " 'Comic Sans MS',\n",
        " 'Webdings',\n",
        " 'DejaVu Sans Mono',\n",
        " 'Liberation Sans Narrow',\n",
        " 'Trebuchet MS',\n",
        " 'Times New Roman',\n",
        " 'Comic Sans MS',\n",
        " 'Arial',\n",
        " 'DejaVu Serif',\n",
        " 'Impact',\n",
        " 'Verdana',\n",
        " 'Trebuchet MS',\n",
        " 'Trebuchet MS',\n",
        " 'Georgia',\n",
        " 'Liberation Sans Narrow',\n",
        " 'Times New Roman']"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}